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Hasan Diwan

2012-Feb-14 21:14 UTC

[R] Spline Question

> dput(sensor.sample)structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
1328566598.85, 1328565634.3, 1328566513.95, 1328565123.65, 1328565827.1,
1328566719.9, 1328565527.55, 1328565118.05, 1328565556.85, 1328565623.85,
1328565230.75, 1328566083.85, 1328566012.45, 1328566795.75, 1328565262.85,
1328566191.35, 1328565827.8, 1328566384.25, 1328565376.95, 1328566006.8,
1328566570.05, 1328565570, 1328565916.6, 1328566915.35, 1328565693.05,
1328566849.5, 1328565591.55, 1328565161.55, 1328566854.75, 1328566697.1,
1328566807.7, 1328565764.6, 1328565545.3, 1328566294.5, 1328566900.1,
1328566583.1, 1328566114.65, 1328565407.35, 1328566168.05, 1328565560.55,
1328565310.9, 1328565523.45, 1328566256.55, 1328566751.15, 1328565915.5,
1328565945.3, 1328565814.35, 1328566076.3, 1328565793.55, 1328565680.55,
1328566642.8, 1328565417.55, 1328566806.45, 1328566174.2, 1328566692.85,
1328565409.2, 1328566878.25, 1328565824, 1328566747.95, 1328566569.2,
1328566781.5, 1328566408.35, 1328566267.05, 1328566031.15, 1328566758.35,
1328565973.6, 1328566718, 1328566176.5, 1328565351.5, 1328565443.4,
1328565119.65, 1328565134.9, 1328566771, 1328565589, 1328566621.05,
1328565096.2, 1328566427.05, 1328566122.15, 1328565815.65, 1328566352.8,
1328566432, 1328566943.5, 1328566807.25, 1328565701.15, 1328566496.4,
1328565461.7, 1328565331.65, 1328565853.85, 1328565757.1, 1328566760.75,
1328565823.85, 1328566728.2, 1328566586.75, 1328565387.65, 1328565734.6,
1328565377.95, 1328566264.2, 1328565783.75, 1328566498.65, 1328565179.3,
1328565481.8, 1328565562.9, 1328565256.9, 1328566797.9, 1328566244.25,
1328565600.75, 1328566407.6, 1328566061.5, 1328566122.35, 1328565930.8,
1328565306.55, 1328565323.55, 1328565401.9, 1328565454.3, 1328566016.65,
1328566627.2, 1328566683.45, 1328566251.65, 1328565110.8, 1328565600.95,
1328565067.2, 1328565476.55, 1328565987.35, 1328566491.85, 1328566170.15,
1328565781.55, 1328566931, 1328565904.65, 1328566650.35, 1328565598.9,
1328566353.75, 1328566522.4, 1328565898.85, 1328565676.85, 1328566563.1,
1328565671.05, 1328565107.45, 1328565872.6, 1328565417.45, 1328565575.9,
1328565685.65, 1328566090.9, 1328566208.75, 1328566393.45, 1328565468.25,
1328565761.35, 1328566691.3, 1328565834.4, 1328565677.9, 1328566502.6,
1328566861.75, 1328566189.3, 1328565953.25, 1328566378.75, 1328565684.75,
1328565505.55, 1328565862.55, 1328565475.15, 1328566436.65, 1328566075.35,
1328566405, 1328565732.4, 1328566813.7, 1328566316.9, 1328565333.6,
1328565845.55, 1328565067.15, 1328565793.5, 1328566779.55, 1328565920.8,
1328565224.15, 1328566109.55, 1328565718.1, 1328565167.05, 1328565569.4,
1328565712, 1328565457.45, 1328565787.15, 1328566688.75, 1328565955.35,
1328565071.65, 1328566758.6, 1328566224.65, 1328566241.8, 1328565577.15,
1328565915.65, 1328566746.65, 1328566529.25, 1328565608, 1328566423.5,
1328566679.75, 1328566209.25, 1328565187.05, 1328565999.1, 1328565900.05,
1328565788.3, 1328565416.3, 1328565825.5, 1328566934.8, 1328565293.9,
1328566320.45, 1328566359.25, 1328566768.2, 1328565884, 1328566709.8,
1328565500.15, 1328565407.25, 1328565310.15, 1328566339.25, 1328565325.2,
1328565657.65, 1328566649.95, 1328565668.4, 1328566041.05, 1328565353.85,
1328565555.8, 1328565160.45, 1328566730.2, 1328565463.6, 1328565367.3,
1328565871.65, 1328566409.3, 1328565188.95, 1328565697.3, 1328566938.3,
1328566896.85, 1328565814.15, 1328565786.65, 1328565651.4, 1328566027.7,
1328565577.55, 1328565833.1, 1328565565.05, 1328566055.5, 1328565797.3,
1328566736.4, 1328565117.1, 1328565278.05, 1328565453.3, 1328566725.8,
1328566609.7, 1328565200.7, 1328566554.8, 1328565170.2, 1328565926.05,
1328566840.8, 1328565313.55, 1328566225.35, 1328565366.1, 1328565183.25,
1328566261.8, 1328565673.55, 1328566884.8, 1328566264.65, 1328565216.35,
1328566879.4, 1328566720, 1328565767.1, 1328566113.35, 1328565657.05,
1328566331.9, 1328565554.05, 1328565239.25, 1328565124.6, 1328565789.65,
1328566444.9, 1328565532.2, 1328566719.35, 1328565205.45, 1328566617.45,
1328565708.85, 1328566155.35, 1328565977.55, 1328566142, 1328566342.25,
1328565232.15, 1328566016.7, 1328565895.85, 1328566345.35, 1328566500.7,
1328566403.5, 1328566895.45, 1328565636.5, 1328565809.75, 1328565537.05,
1328566369.45, 1328566340.4, 1328565180, 1328565641.05, 1328565204,
1328566082.05, 1328566183.9, 1328566527.1, 1328566667.85, 1328566297.2,
1328566094.65, 1328565577.45, 1328566841.05, 1328566422.05, 1328565968.4,
1328566527.5, 1328565450.85, 1328565194.3, 1328565859.05, 1328565790.7,
1328566536.05, 1328565555.05, 1328566847.6, 1328566431.85, 1328565081.7,
1328565942.8, 1328566154.7, 1328565312.55, 1328565370.95, 1328565222.9,
1328566301.45, 1328565861.2, 1328565974.6, 1328566650.85, 1328566048.4,
1328565780.1, 1328566022.3, 1328566136, 1328566030.75, 1328566877.05,
1328566552.6, 1328565647.2, 1328565181.65, 1328565565.3, 1328566545.1,
1328565860.75, 1328566520.7, 1328565431.65, 1328566769.5, 1328565816.6,
1328565257.75, 1328566903.45, 1328565080.15, 1328565737.4, 1328566865.05,
1328565100.05, 1328565818.6, 1328565075.6, 1328565435.85, 1328565478.85,
1328566120.75, 1328566573.2, 1328566055.1, 1328566616.1, 1328566181.55,
1328566688.05, 1328566617.9, 1328565260.9, 1328565662.6, 1328566418.1,
1328566166.75, 1328566620.75, 1328566146.95, 1328566743.3, 1328565810.25,
1328566775.25, 1328566735.15, 1328565500.7, 1328566116.55, 1328565996.7,
1328565696.35, 1328565962.8, 1328565466.55, 1328566416.75, 1328566400.4,
1328566019.9, 1328565380.65, 1328565826.75, 1328565450.3, 1328566017.35,
1328565748.15, 1328565758.6, 1328566195.05, 1328566258.15, 1328565130.5,
1328566616.7, 1328565702.5, 1328565642.5, 1328566431.65, 1328566621.8,
1328566377.65, 1328565199, 1328566880.9, 1328566470.4, 1328566325.7,
1328566754.25, 1328565385.15, 1328565898.35, 1328566186.05, 1328565530.6,
1328566667, 1328565499.65, 1328566090.35, 1328566582.25, 1328566695.4,
1328566105.6, 1328565442.2, 1328565534.55, 1328566669.35, 1328565595.8,
1328565292.3, 1328566155.1, 1328566585.05, 1328566251.4, 1328565394.75,
1328565994.1, 1328565887.55, 1328566949.55, 1328565429, 1328565116.45,
1328565263.35, 1328565792, 1328566074.25, 1328565942.65, 1328565769.3,
1328565446.35, 1328566787.95, 1328566470.5, 1328566484.05, 1328566576.35,
1328566530.35, 1328565877.4, 1328566322.95, 1328565929.1, 1328565345.1,
1328566326.95, 1328565100.35, 1328565428.1, 1328565501.3, 1328565462.8,
1328566105.8, 1328566125.85, 1328566246.75, 1328566011.1, 1328566597.65,
1328565435.6, 1328566559.8, 1328565684.15, 1328566859.85, 1328565822.65,
1328565779.75, 1328565371.25, 1328565890.95, 1328565842.5, 1328566440.2,
1328566757.75, 1328565710.25, 1328565177.75, 1328566477.55, 1328566048.65,
1328566861.2, 1328566476.8, 1328566631.3, 1328566087, 1328565395.85,
1328565628.25, 1328566917.8, 1328565401.05, 1328565932.45, 1328565613.15,
1328566823.6, 1328565615.85, 1328565418.2, 1328565089.55, 1328566944.35,
1328566473.65, 1328566529.95, 1328566343.3, 1328566555.4, 1328565976.5,
1328565587.35, 1328566461.75, 1328566401.2, 1328565192.25, 1328566671,
1328566593.35, 1328566172.8, 1328566287.7, 1328565326.15, 1328565682.5,
1328566864.35, 1328565950.95, 1328565397.1, 1328565462, 1328566475.25,
1328566154.15, 1328565511.9, 1328565348.25, 1328565184.55, 1328565831.35,
1328565677.5, 1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
0.058568910563872, 0.0511868450318788, -0.135411475909466, 0.00932422732948436,
0.0221895355387284, 0.0266546646856788, 0.0225434123181202, 0.0445814605816278,
0.0149059096898036, 0.013002613503818, -0.00148695446444385,
0.0162925217394799, 0.194031458115288, 0.0138304305434145, -0.0266180500206368,
-0.00646911596246798, -0.0412701924232419, -0.0238272088404772,
-0.0137342564676858, 0.0797856146954829, -0.90478895075067, -0.774579497337121,
0.71159944326151, -0.573210178957945, 1.00423557840065, 1.08090898779486,
-0.90317224512971, -0.837349518268004, -0.450305661106175, 0.482263537821871,
-0.210635196657228, 1.06625146841772, 0.593861172390831, 0.901620711539,
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-1.01138431809699, 0.705412483726089, -0.697933444547738, 1.04980715654539,
-0.735937543288563, 0.721557188693841, -0.768012806319571, -0.0777548978795496,
0.315020281992728, -0.849241844084207, 0.45449975476056, 0.653141808264299,
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1.06446355403877, 0.7520292831953, 0.139426114181465, 0.324511354895922,
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0.596945306128167, 0.039248776884906, 0.470908352355763, 0.242227669336369,
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1.03254999954335, -0.956170165132077, -1.07366977186396, -0.916589711558596,
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1.10313525888536, 0.526905159383735, 0.193226522096174, 0.227300860384115,
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1.03791799837854, 0.304012213744609, 1.03759114318448, -0.223329015235008,
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0.335067765481652, 0.826426337197544, 1.46273942208774, -0.0503132416153066,
1.7599013466248, 1.21839053486024, 0.108988023318627, -0.121911523699774,
1.1351136101429, 0.399941339425185, -0.228386616128546, -1.27820519197438,
-0.393201592934768, -0.41563092294455, -0.266177152022941, 0.461429762283106,
0.265502318279524, -0.825497126816178, 0.998545563055122, 0.569510823580095,
-0.348754186080459, -0.946014481690295, 0.83301351576945, -0.218984639465139,
0.695418283854028, -1.42766879023276, -0.783519748263237, -0.0185859748462364,
0.22622216659092, -0.842940844293499, -0.84702007245733, -0.501043325178865,
-0.337100300084355, -0.527276704350915, -0.241596182902352, -0.232297524482414,
-1.06831621475657, 1.23820545388447, -1.83595843459505, 0.183901314338659,
0.334823183565408, -0.460994607223178, -0.502081199796652, 0.920071798062979,
0.309151266362348, 1.31086223310642, -0.323557125306088, -1.46317447619701,
-0.935450804091841, 0.714508467300742, -0.96775293828597, 1.05657218141627,
0.498491414060863, 0.515375045885487, 1.11717617916938, -1.61335401057394,
0.908424849763754, 0.623822012960201, -0.477652390668867, -0.632833195851549,
-0.795472695163017, 0.288678717381959, 0.0134839965502857, -1.07029805944507,
-0.746576451586246, 0.375377433515597, -0.297720446602926, -0.320626586750474,
-0.671016587037567, -0.303369965480123, 0.893524856257103, -0.372767113377851,
-0.0665301447571371, -0.479380239164552, 0.897423065124399, 0.893164144945179,
-0.95913778546186, -0.702254101336489, -0.350441981033975, 0.766045715599953,
0.909395426580465, 0.806793813827552, 0.474927337412093, -0.0383057034947468,
-0.454526719533217, -0.187379201707524, 0.249983084438962, 0.632832546743065,
-0.986399675507447, -0.970631383787144), .Dim = c(504L, 2L), .Dimnames = list(
? ? NULL, c("sensors.sample", "")))

What I'd like to do is get a spline through all the points. I'm
thinking the spline function is my best approach. But a plot of the
spline and the points shows it does not cross every one perfectly. Do
I need to specify a particular method for this, or am I using the
wrong approach? Thanks in advance! -- H
-- 
Sent from my mobile device
Envoyait de mon portable

David Winsemius

2012-Feb-15 02:37 UTC

head link

[R] Spline Question

On Feb 14, 2012, at 4:14 PM, Hasan Diwan wrote:
>> dput(sensor.sample)
> structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
snipped 5 pages of data....> 0.909395426580465, 0.806793813827552, 0.474927337412093,  
> -0.0383057034947468,
> -0.454526719533217, -0.187379201707524, 0.249983084438962,  
> 0.632832546743065,
> -0.986399675507447, -0.970631383787144), .Dim = c(504L,  
> 2L), .Dimnames = list(
>     NULL, c("sensors.sample", "")))
>
> What I'd like to do is get a spline through all the points.
On the face of it that seems to be an extraordinary request. So (not  
for the first time)  I must not be understanding something. Are you  
really asking for assistance in constructing a 503rd or 504th  degree  
polynomial? And if you are, then why pose the question on a statistics- 
oriented mailing list. We only deal in approximations to the Truth.


> I'm
> thinking the spline function is my best approach. But a plot of the
> spline and the points shows it does not cross every one perfectly. Do
> I need to specify a particular method for this, or am I using the
> wrong approach? Thanks in advance! -- H
> -- 
> Sent from my mobile device
> Envoyait de mon portable

-- 
David Winsemius, MD
West Hartford, CT

Jeff Newmiller

2012-Feb-15 08:00 UTC

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[R] Spline Question

What part of "read the posting guide" did you not understand? The
"provide commented, minimal, self-contained, reproducible code" part?
---------------------------------------------------------------------------
Jeff Newmiller                        The     .....       .....  Go Live...
DCN:<jdnewmil at dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live
Go...
                                      Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
/Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
--------------------------------------------------------------------------- 
Sent from my phone. Please excuse my brevity.

Hasan Diwan <hasan.diwan at gmail.com> wrote:
>Rolf,
>
>On 14 February 2012 21:26, Rolf Turner <rolf.turner at xtra.co.nz>
wrote:
>> ? ?What did you actually *do* to create your spline?
>> ? ?Did you use spline() or splinefun()? ?And if not, why not?
>
>Yes... I used the spline() function to get a list of points that
>should go though every point in the dataset, but it does not go
>through each point, just most of them.
>
>Is this what it is supposed to do? If so, my understanding of the
>maths underlying it are incorrect -- this is entirely possible as
>well.
>-- 
>Sent from my mobile device
>Envoyait de mon portable
>
>______________________________________________
>R-help at r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

Berend Hasselman

2012-Feb-15 08:42 UTC

head link

[R] Spline Question

On 14-02-2012, at 22:14, Hasan Diwan wrote:
>> dput(sensor.sample)
> structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
> 1328566598.85, 1328565634.3, 1328566513.95, 1328565123.65, 1328565827.1,
> ......
> What I'd like to do is get a spline through all the points. I'm
> thinking the spline function is my best approach. But a plot of the
> spline and the points shows it does not cross every one perfectly. Do
> I need to specify a particular method for this, or am I using the
> wrong approach? Thanks in advance! -- H
I assigned your str to the variable z.

And then did this

z.s <- spline(z[,1],z[,2]) 

z.range <- 1:50
plot(z.s$x[z.range],z.s$y[z.range])
lines(z.s$x[z.range],z.s$y[z.range], col=2)

z.range <- 401:450
plot(z.s$x[z.range],z.s$y[z.range])
lines(z.s$x[z.range],z.s$y[z.range], col=2)

And got the distinct impression that the spline is going through your points.

So what have you done and what made you draw your conclusion?

Berend

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